Mathematical Models of Small Watershed Hydrology and Applications

Mathematical Models of Small Watershed Hydrology and Applications PDF

Author: Vijay P. Singh

Publisher: Water Resources Publication

Published: 2002

Total Pages: 984

ISBN-13: 9781887201353

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Comprehensive account of some of the most popular models of small watershed hydrology and application ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library

Mathematical Models in Hydrology

Mathematical Models in Hydrology PDF

Author: R. T. Clarke

Publisher: Fao

Published: 1973

Total Pages: 316

ISBN-13:

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Definitions, model classification, some model uses; The generation of synthesis sequences of a single hydrological variable; The generation of synthetic sequences of several hydrological variables; Forecasting monthly streamflow; The estimation of floods with given return period ; The use of a stochastic-conceptual model to convert long rainfall records into discharge; Computer programs.

Mathematical Models of Large Watershed Hydrology

Mathematical Models of Large Watershed Hydrology PDF

Author: Vijay P. Singh

Publisher: Water Resources Publication

Published: 2002

Total Pages: 930

ISBN-13: 9781887201346

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Comprehensive account of some of the most popular models of large watershed hydrology ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library

Applied Mathematics in Hydrogeology

Applied Mathematics in Hydrogeology PDF

Author: Tien-Chang Lee

Publisher: Routledge

Published: 2019-01-22

Total Pages: 193

ISBN-13: 135146597X

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As introduced in Dr. Lee's 10-week class, Applied Mathematics in Hydrogeology is written for professionals and graduate students who have a keen interest in the application of mathematics in hydrogeology. Its first seven chapters cover analytical solutions for problems commonly encountered in the study of quantitative hydrogeology, while the final three chapters focus on solving linear simultaneous equations, finite element analysis, and inversion for parameter determination. Dr. Lee provides various equation-solving methods that are of interest to hydrogeologists, geophysicists, soil scientists, and civil engineers, as well as applied physicists and mathematicians. In the classroom, this same information will help students realize how familiar equations in hydrogeology are derived-an important step toward development of a student's own mathematical models. Unlike other applied mathematics books that are structured according to systematic methodology, Applied Mathematics in Hydrogeology emphasizes equation-solving methods according to topics. Hydrogeological problems and governing differential equations are introduced, including hydraulic responses to pumping in confined and unconfined aquifers, as well as transport of heat and solute in flowing groundwater.

Distributed Hydrological Modelling

Distributed Hydrological Modelling PDF

Author: Michael B. Abbott

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 323

ISBN-13: 9400902573

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It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.

Hydrological Data Driven Modelling

Hydrological Data Driven Modelling PDF

Author: Renji Remesan

Publisher: Springer

Published: 2014-11-03

Total Pages: 250

ISBN-13: 3319092359

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This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Transport Modeling in Hydrogeochemical Systems

Transport Modeling in Hydrogeochemical Systems PDF

Author: J.David Logan

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 228

ISBN-13: 1475735189

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This textbook develops the basic ideas of transport models in hydrogeology, including diffusion-dispersion processes, advection, and adsorption or reaction. The book serves as an excellent text or supplementary reading in courses in applied mathematics, contaminant hydrology, ground water modeling, or hydrogeology.

Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems

Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems PDF

Author: A.J. Askew

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 267

ISBN-13: 1483189589

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Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems is a collection of paper that details the experiences in the operational and logistical aspects of utilizing water resource models. The title provides the general report on model structure and classification; experiences of the hydrologic engineering center in maintaining widely used hydrologic and water resource computer models; and the operational experience of on-line hydrological simulation. The selection also covers the implementation and application of a suite for the simulation of complex water resource systems in evaluation and planning studies; and the use of a groundwater model in the design, performance; and the assessment, and operation of a river regulation scheme. The book will be of great use to researchers and practitioners of hydrological sciences.